Ahmed Abdulaal

According to our database, Ahmed Abdulaal authored at least 14 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations.

Aryo Pradipta Gema, Chen Jin, Ahmed Abdulaal, Tom Diethe, Philip Teare, Beatrice Alex, Pasquale Minervini, Amrutha Saseendran

CoRR, 2024

An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation.

Ahmed Abdulaal, Hugo Fry, Nina Montaña Brown, Ayodeji Ijishakin, Jack Gao, Stephanie L. Hyland, Daniel C. Alexander, Daniel C. Castro

CoRR, 2024

Disentangled Diffusion Autoencoder for Harmonization of Multi-site Neuroimaging Data.

Ayodeji Ijishakin, Ana Lawry Aguila, Elizabeth Levitis, Ahmed Abdulaal, André Altmann, James Cole

CoRR, 2024

Normative Diffusion Autoencoders: Application to Amyotrophic Lateral Sclerosis.

Ayodeji Ijishakin, Adamos Hadjivasiliou, Ahmed Abdulaal, Nina Montaña Brown, Florence Townend, Edoardo Gioele Spinelli, Massimo Fillipi, Federica Agosta, James Cole, Andrea Malaspina

CoRR, 2024

Dynamic Pricing for Multi-Retailer Delivery Platforms with Additive Deep Learning and Evolutionary Optimization.

Ahmed Abdulaal, Ali Polat, Hari Narayan, Wenrong Zeng, Yimin Yi

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning.

Ahmed Abdulaal, Adamos Hadjivasiliou, Nina Montaña Brown, Tiantian He, Ayodeji Ijishakin, Ivana Drobnjak, Daniel C. Castro, Daniel C. Alexander

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Interpretable Alzheimer's Disease Classification Via a Contrastive Diffusion Autoencoder.

Ayodeji Ijishakin, Ahmed Abdulaal, Adamos Hadjivasiliou, Sophie Martin, James Cole

CoRR, 2023

SARAMIS: Simulation Assets for Robotic Assisted and Minimally Invasive Surgery.

Nina Montaña Brown, Shaheer U. Saeed, Ahmed Abdulaal, Thomas Dowrick, Yakup Kilic, Sophie Wilkinson, Jack Gao, Meghavi Mashar, Chloe He, Alkisti Stavropoulou, Emma Thomson, Zachary M. C. Baum, Simone Foti, Brian R. Davidson, Yipeng Hu, Matthew J. Clarkson

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Coupled-Mechanisms Modelling Framework for Neurodegeneration.

Tiantian He, Elinor Thompson, Anna Schroder, Neil P. Oxtoby, Ahmed Abdulaal, Frederik Barkhof, Daniel C. Alexander

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2021

COVID-19 Prognostic Models: A Pro-con Debate for Machine Learning vs. Traditional Statistics.

Ahmed Al-Hindawi, Ahmed Abdulaal, Timothy M. Rawson, Saleh A. Alqahtani, Nabeela Mughal, Luke S. P. Moore

Frontiers Digit. Health, 2021

Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization.

Ahmed Abdulaal, Zhuanghua Liu, Tomer Lancewicki

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Real-Time Synchronization in Neural Networks for Multivariate Time Series Anomaly Detection.

Ahmed Abdulaal, Tomer Lancewicki

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Comparison of deep learning with regression analysis in creating predictive models for SARS-CoV-2 outcomes.

Ahmed Abdulaal, Aatish Patel, Esmita Charani, Sarah Denny, Saleh A. Alqahtani, Gary W. Davies, Nabeela Mughal, Luke S. P. Moore

BMC Medical Informatics Decis. Mak., 2020

2016

A Fuzzy Genetic Algorithm Classifier: The Impact of Time-Series Load Data Temporal Dimension on Classification Performance.

Ahmed Abdulaal, Shihab S. Asfour

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016